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| Multi-Time-Scale Model Predictive Control of Inverter Air Conditioner Cluster for Distributed Power Fluctuation Stabilization |
| Yang Weichen, Miao Shihong, Liu Zhiwei, Tu Qingyu, Lin Yujun |
| State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China |
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Abstract To exert the potential of inverter air conditioner （IAC） cluster in stabilizing the fluctuation of distributed generation, this paper proposes a multi-time scale model predictive control strategy for IAC cluster. First, an equivalent generation model based on temperature command regulation and an equivalent energy storage model based on direct power control are constructed to realize 15-minute and 1-minute level control of IAC clusters, respectively. In terms of temperature command regulation, the dynamic process of the IAC responding to the target temperature is considered, and the centralized control architecture is used to obtain the optimal temperature command. In addition, the orderly action strategy of IAC is further studied to alleviate the power shock caused by the simultaneous action of large-scale IACs. In terms of direct power control, the state difference between IACs is considered, the power optimization and fast response of the IAC cluster are realized by means of centralized optimization and autonomous response. Finally, the simulation verified that the power fluctuation of the distributed power generation can be effectively suppressed by the proposed multi-time scale coordination control strategy of the IAC cluster.
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Received: 10 February 2022
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2022, Vol. 37 
